Answer: 0.12
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Work Shown:
P(B/C) = P(B and C)/P(C) ... conditional probability formula
P(B and C) = P(C)*P(B/C)
P(B and C) = 0.20*0.15
P(B and C) = 0.03
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P(C/B) = P(C and B)/P(B) .... note the swap of B and C
P(C/B) = P(B and C)/P(B)
P(C/B) = (0.03)/(0.25)
P(C/B) = 0.12
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Extra notes:
- The fact that events A and B are independent is not relevant.
- The fact A and C are mutually exclusive isn't used here either.
- This problem can be solved through Bayes' Theorem.
- Another alternative you can do is to set up a 3 by 3 contingency table to help solve this problem.